Table 2. Logistic and Poisson Regression Outputs for 2012-2015 National Football League Seasons.

Logistic Regression				Poisson Regression
	Estimate (β)	Standard Error	P		Estimate (β)	Standard Error	P
Intercept	-3.699928	11.263321	0.743	Intercept	2.790439	7.013908	0.691
Temperature	0.004887	0.017456	0.779	Temperature	-0.004127	0.010328	0.689
Humidity	0.012402	0.009654	0.199	Humidity	0.003784	0.005705	0.507
Pressure	0.0197517	0.369371	0.771	Pressure	-0.098979	0.22995	0.667
Dew	-0.021079	0.018338	0.25	Dew	-0.008686	0.010785	0.421
	Estimate (β)	Standard Error	P		Estimate (β)	Standard Error	P
Intercept	-3.122559	11.241082	0.78118	Intercept	3.0350837	7.0062927	0.665
Temperature	-0.014427	0.004738	0.00233	Temperature	-0.012105	0.0029258	3.51E-05
Humidity	0.002652	0.004558	0.56069	Humidity	-0.0001565	0.0029554	0.958
Pressure	0.115266	0.368978	0.75474	Pressure	-0.0961313	0.2299181	0.676
	Estimate (β)	Standard Error	P		Estimate (β)	Standard Error	P
Intercept	-3.235476	11.138963	0.77146	Intercept	2.355913	6.936975	0.734
Humidity	0.010072	0.004868	0.03853	Humidity	0.005698	0.003065	0.063
Pressure	0.099163	0.36086	0.78762	Pressure	-0.090463	0.229153	0.693
Dew	-0.016143	0.004978	1.18E-03	Dew	-0.012806	0.003047	2.64E-05